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HADatAc Training

Paulo Pinheiro edited this page Sep 16, 2019 · 10 revisions

Module 1 - Get HADatAc Up and Running

Short Description:

  • Learn how to use data/metadata from a provided study

Learning Outcomes:

  • Install and setup HADatAc in development
  • Bootstrap knowledge graph
  • Submit study data/metadata into HADatAc
  • Search data
  • Download data
  • Using the API

Target Audience:

  • Data User
  • Data Owner
  • Project manager

Module Script:

Resources:

Module 2 - Getting Your First Study In

Short Description:

  • Ingesting the Data/Metadata from your own study

Learning Outcomes:

  • Build a namespace.properties
  • Register instruments
  • Create and manage deployments and streams
  • Create studies
  • Create semantic study designs
  • Understand data dictionaries including code books
  • Derive semantic data dictionaries from data dictionaries

Target Audience:

  • Data Owner
  • Project Manager

Module Script:

Module 3 - Getting All Your Studies In

Short Description

  • Ingesting the Data/Metadata from your second own study

Target Audience:

  • Data Owner
  • Project Manager

Learning Outcomes:

  • Manage users including authentication
  • Manage repositories
  • Use HADatAc sandbox mode
  • Evolve existing knowledge graph

Module Script:

Data Owner Guide

  1. Installation
    1.1. Installing for Linux (Production)
    1.2. Installing for Linux (Development)
    1.3. Installing for MacOS (Development)
    1.4. Deploying with Docker (Production)
    1.5. Deploying with Docker (Development)
    1.6. Installing for Vagrant under Windows
    1.7. Upgrading
    1.8. Starting HADatAc
    1.9. Stopping HADatAc
  2. Setting Up
    2.1. Software Configuration
    2.2. Knowledge Graph Bootstrap
    2.2.1. Knowledge Graph
    2.2.2. Bootstrap without Labkey
    2.2.3. Bootstrap with Labkey
    2.3. Config Verification
  3. Using HADatAc
    3.1. Initial Page
    3.1.1. Home Button
    3.1.2. Sandbox Mode Button
    3.2. File Ingestion
    3.2.1. Ingesting Study Content
    3.2.2. Manual Submission of Files
    3.2.3. Automatic Submission of Files
    3.2.4. Data File Operations
    3.3. Manage Working Files 3.3.1. [Create Empty Semantic File from Template]
    3.3.2. SDD Editor
    3.3.3. DD Editor
    3.4. Manage Metadata
    3.4.1. Manage Instrument Infrastructure
    3.4.2. Manage Deployments 3.4.3. Manage Studies
    3.4.4. [Manage Object Collections]
    3.4.5. Manage Streams
    3.4.6. Manage Semantic Data Dictionaries
    3.4.7. Manage Indicators
    3.5. Data Search
    3.5.1. Data Faceted Search
    3.5.2. Data Spatial Search
    3.6. Metadata Browser and Search
    3.7. Knowledge Graph Browser
    3.8. API
    3.9. Data Download
  4. Software Architecture
    4.1. Software Components
    4.2. The Human-Aware Science Ontology (HAScO)
  5. Metadata Files
    5.1. Deployment Specification (DPL)
    5.2. Study Specification (STD)
    5.3. Semantic Study Design (SSD)
    5.4. Semantic Data Dictionary (SDD)
    5.5. Stream Specification (STR)
  6. Content Evolution
    6.1. Namespace List Update
    6.2. Ontology Update
    6.3. [DPL Update]
    6.4. [SSD Update]
    6.5. SDD Update
  7. Data Governance
    7.1. Access Network
    7.2. User Status, Categories and Access Permissions
    7.3. Data and Metadata Privacy
  8. HADatAc-Supported Projects
  9. Derived Products and Technologies
  10. Glossary
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